Podman Desktop

Build, manage, and deploy containers and Kubernetes locally from web interface.

Build, manage, and deploy containers and Kubernetes locally with desktop

Learn how you can run RHEL on Windows as a Windows Subsystem for Linux distribution using Red Hat Enterprise Linux image builder.

Learn how to rapidly prototype AI applications from your local environment with

As enterprises seek to utilize the power of generative AI, they often struggle with the transition from experimentation to production-ready solutions. This talk will guide you through the steps needed to build an enterprise-grade generative AI application, starting with local experimentation using Podman AI Lab and finishing in a scalable, secure deployment on Red Hat OpenShift AI.

With GPU acceleration for Podman AI Lab, developers can inference models faster and build AI-enabled applications with quicker response times.

Discover how to implement a distributed transaction solution using Jakara EE Jakarta Enterprise Beans (EJB) in this in-depth guide.

Learn how to build and run containers locally using Podman Desktop, then configure an automated CI/CD pipeline that will build your container images and push them to an image registry.

Explore large language models (LLMs) by trying out the Granite model on Podman AI Lab.

Download Red Hat software for application developers at no-cost.

Join Red Hat at WeAreDevelopers World Congress 2024, where sessions will cover

Over 80% of enterprises will have used generative AI (gen AI) APIs or deployed generative AI-enabled applications by 2026, according to Gartner. The barriers for joining these enterprises and integrating generative AI into the application development process are lower than ever. No need for extra funding or complex environments, just the know-how this video provides.

Podman AI Lab provides a containerized environment for exploring, testing, and integrating open source AI models locally using Podman Desktop.

Learn how to fine-tune large language models with specific skills and knowledge

Introducing a new video series staring Red Hat's Dan Walsh, with technical deep

Image mode for Red Hat Enterprise Linux is a new deployment method that takes a container-native approach to deliver the operating system as a bootc container image.

Image mode for Red Hat Enterprise Linux (RHEL) uses bootable containers to provide a single source of truth for operating systems and application containers.

Get an introduction to the Podman Desktop GUI tool and explore features and extensions that empower you to streamline your containerized application development process.

The AI Lab Recipes repository offers recipes for building and running containerized AI and LLM applications to help developers move quickly from prototype to production.

Explore the advantages of Podman AI Lab, which lets developers easily bring AI into their applications without depending on infrastructure beyond a laptop.

Podman Desktop's Red Hat Account Extension offers easier access to products like Red Hat Enterprise Linux and helps get your job done on your chosen desktop OS.

Learn how to build a containerized bootable operating system to run AI models using image mode for Red Hat Enterprise Linux, then deploy a custom image.

A common platform for machine learning and app development on the hybrid cloud.

Red Hat Enterprise Linux (RHEL) 9.4 is now generally available (GA). Learn about the latest enhancements that improve the developer experience.

Applications based on machine learning and deep learning, using structured and unstructured data as the fuel to drive these applications.